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Senior Data Engineer Jobs in Oklahoma (NOW HIRING)

Life.Church

Senior Data Engineer

Edmond, OK · Remote

$95K - $130K/yr

The YouVersion Senior Data Engineer is primarily responsible for shaping, implementing, and maintaining data pipelines and systems that provide quality and reliable data. This role is critical in ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

The YouVersion Senior Data Engineer is primarily responsible for shaping, implementing, and maintaining data pipelines and systems that provide quality and reliable data. This role is critical in ...

mytfcuhr

Data Engineer I,II,III, SR

Oklahoma City, OK

$106K - $133K/yr

Azure Data Engineer Associate or Fabric Analytics Engineer Associate are preferred for Data Engineer III and Senior Data Engineer. Keys to success: In order to be successful as a Data Engineer you ...

New

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

The Senior Data Engineer is responsible for shaping, implementing, and maintaining data pipelines and systems that provide quality and reliable data, collaborating across technical teams to deliver ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

The Senior Data Engineer is responsible for shaping, implementing, and maintaining data pipelines and systems that ensure quality and reliable data, collaborating across technical teams to support ...

PNC Bank

Senior Data Manager

Ponca City, OK · On-site

As a Senior Data Manager within PNC's Data products organization, you will be based in Strongsville ... Data Engineering & Compute Optimization, Establish and govern best practices for Spark-based data ...

Pwc

Data Engineer - Senior Manager

Oklahoma City, OK

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Manager

Tulsa, OK · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Associate

Tulsa, OK · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Bayer

Senior Staff Data Engineer

Tulsa, OK · On-site

$96K - $131K/yr

Senior Staff Data Engineer PURPOSE: The Senior Staff Data Engineer is responsible for the design and implementation of numerous complex data flows to integrate operational systems, external and ...

Pwc

Data Engineer - Senior Associate

Tulsa, OK · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Pwc

Data Engineer - Senior Associate

Oklahoma City, OK

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Oklahoma

Senior Data Engineer information

See Oklahoma salary details

$74.8K

$116.6K

$161.6K

How much do senior data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior data engineer in Oklahoma is $116,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $133,000.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Oklahoma? The most popular types of Data Engineer jobs in Oklahoma are:
What are popular job titles related to Senior Data Engineer jobs in Oklahoma? For Senior Data Engineer jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Oklahoma look for? The top searched job categories for Senior Data Engineer jobs in Oklahoma are:
What cities in Oklahoma are hiring for Senior Data Engineer jobs? Cities in Oklahoma with the most Senior Data Engineer job openings:
What are popular job titles related to Senior Data Engineer jobs in OK? For Senior Data Engineer jobs in OK, the most frequently searched job titles are:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,643 per year, or $56.1 per hour.

Senior Data Engineer

Life.Church

Edmond, OK • Remote

$95K - $130K/yr

Full-time

Re-posted 28 days ago

Job description

The YouVersion Senior Data Engineer is primarily responsible for shaping, implementing, and maintaining data pipelines and systems that provide quality and reliable data. This role is critical in leading to increased engagement and growth through the Bible App globally. The Senior Data Engineer works across technical teams within the organization, including but not limited to Data Analytics, Software Engineering leaders, and Product teams. This role is responsible for defining and executing data governance and architectural decisions and teaching/guiding others on the team. The Senior Data Engineer utilizes their skills to deliver technical outcomes that align with the direction of their team to further Life.Church’s mission and to reach people for Christ.
 
YouVersion was created by the local church in 2007 and remains a ministry of Life.Church today. At Life.Church, our mission is to lead people to become fully devoted followers of Christ. Our team is committed to reaching people worldwide through innovative technology. And YouVersion is one of the ways we get to do that. Life.Church is a multi-site Christian church meeting in the United States and globally at Life.Church Online.
 
We wholeheartedly believe a daily rhythm of seeking intimacy with God has the power to transform lives. That’s why YouVersion creates biblically-based experiences that encourage and challenge people to seek God. We hope everyone in our community is on an active journey to become who God made them to be, abiding in Him, and drawing closer every day. 
What You'll Do
  • Deliver Trusted Data: Build and maintain reliable data pipelines that provide accurate, actionable data for analytics, experimentation, and decision-making.
  • Own Data Systems: Plan, implement, and operate ingestion, ETL/ELT, and integration workflows with a focus on quality, scalability, and resilience.
  • Partner Cross-Functionally: Collaborate with product, platform, analytics, and engineering teams to ensure relevant data is instrumented, collected, and usable.
  • Enable ML & LLM Use Cases: Prepare and curate datasets suitable for predictive modeling, experimentation, and LLM-driven applications.
  • Support Model Readiness: Design data pipelines and schemas that support training, evaluation, and inference workflows in partnership with ML-focused engineers.
  • Advance Data Governance: Contribute to data governance, stewardship, privacy, and security best practices.
  • Improve Observability: Build testing, monitoring, and alerting to ensure high data quality and early detection of issues.
  • Optimize for Scale: Performance tune pipelines, queries, and storage for efficiency and stewardship.
  • Document & Enable: Create clear documentation, diagrams, and data definitions to improve understanding across teams.
  • Mentor Others: Lead and support junior and mid-level data engineers through code reviews, pairing, and guidance.
  • Own Projects: Take responsibility for end-to-end delivery of data initiatives with minimal direction.
  • Grow Continuously: Stay current on data engineering, ML, and LLM-related tools, patterns, and best practices.
What It Takes to Thrive Here
  • Strong Ownership: Ability to independently lead complex data projects from concept to production.
  • Problem-Solving Mindset: Comfortable navigating ambiguity and solving complex technical challenges.
  • Collaboration Skills: Able to communicate clearly with both technical and non-technical partners.
  • Quality Focus: Strong instincts around testing, monitoring, and data correctness.
  • Learning Orientation: Curiosity and motivation to grow in ML- and LLM-adjacent data engineering practices.
  • Mission Alignment: Desire to use your skills to serve others and advance God’s Kingdom.
Technical Areas You Excel In
  • SQL: Strong proficiency writing complex queries and optimizing performance.
  • Programming: Experience with Python, Go, Java, or similar general-purpose languages.
  • Data Warehousing: Hands-on experience with warehouse design and modeling (e.g., BigQuery, Postgres, SQL Server, DBT).
  • Pipelines & Orchestration: Experience with Airflow, Pub/Sub, Fivetran, streaming platforms, or similar tools.
  • Cloud Platforms: Experience building data systems on GCP or comparable cloud environments.
  • APIs & Streaming: Experience integrating batch and real-time data sources.
  • ML Data Preparation: Experience preparing datasets for predictive, prescriptive, or classification models.
  • Feature Readiness: Understanding of feature engineering concepts and data requirements for ML workflows.
  • LLM Awareness: Familiarity with LLM concepts such as embeddings, prompt inputs/outputs, vector storage, or retrieval-augmented generation (RAG).
  • Pipeline Support: Ability to support data flows for model training, evaluation, and inference (without requiring deep model research).
  • Cross-Functional Partnership: Comfortable collaborating with ML engineers, data scientists, or platform teams on ML-enabled features.
What You Bring
  • Experience: 5+ years of data or software engineering experience building production-grade data systems.
  • Education: Bachelor’s degree in Computer Science, Data, or a related field (advanced certification a plus).
  • Technical Maturity: Proven ability to design, build, and operate reliable data pipelines.
  • Leadership Growth: Experience mentoring others and contributing to team-level technical direction.
  • Tooling Familiarity: Experience with tools such as GitLab, Jira, Amplitude, Backstage, or Notion is a plus.
  • Passion for Impact: Excitement about building data systems that support insight, learning, and spiritual growth.
Benefits We Offer
  • Paid parental leave, including maternity, paternity, and adoption leave.
  • Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons. 
  • Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health. 
  • Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase. 
  • Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members.
  • Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health.
  • Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn’t stop there—the more years on staff, the greater the investment! 
  • $160 annually in development dollars for team members to invest in their professional growth. 
  • Casual dress and work environment.
  • And much more!
 
Our Beliefs, Culture, and Commitment to Diversity
At Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual’s capacity to represent Life.Church’s beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or intern at Life.Church is to uphold and represent the beliefs of Life.Church. Learn more about what we believe at Life.Church. 
 
While we unite around our mission, we know unity doesn’t mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential to reaching the world for Christ. To learn more about how we strengthen our team through diversity, visit our careers page. 
 
All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.